Update Handbuilder lineup DataFrame in app.py to include '2x%' column, enhancing player data management and display. Adjust related logic for player selection and summary calculations to ensure accurate representation of player statistics, improving user experience and clarity.

app.py

@@ -817,7 +817,7 @@ with tab4:
 
     # --- LINEUP STATE ---
     if 'handbuilder_lineup' not in st.session_state:
-        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%'])
+        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Own%'])
     if 'handbuilder_select_key' not in st.session_state:
         st.session_state['handbuilder_select_key'] = 0
 
@@ -843,9 +843,9 @@ with tab4:
     if selected_teams:
         player_select_df = dk_roo[
             dk_roo['Team'].isin(selected_teams)
-        ][['Player', 'Position', 'Team', 'Salary', 'Median', 'Order', 'Hand', 'Own%']].drop_duplicates(subset=['Player', 'Team']).sort_values(by='Order', ascending=True).copy()
+        ][['Player', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Order', 'Hand', 'Own%']].drop_duplicates(subset=['Player', 'Team']).sort_values(by='Order', ascending=True).copy()
     else:
-        player_select_df = dk_roo[['Player', 'Position', 'Team', 'Salary', 'Median', 'Order', 'Hand', 'Own%']].drop_duplicates(subset=['Player', 'Team']).copy()
+        player_select_df = dk_roo[['Player', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Order', 'Hand', 'Own%']].drop_duplicates(subset=['Player', 'Team']).copy()
 
     # --- FILTER OUT PLAYERS WHOSE ALL ELIGIBLE POSITIONS ARE FILLED ---
     def is_player_eligible(row):
@@ -887,7 +887,7 @@ with tab4:
                     # Add the slot info
                     player_row = player_row.assign(Slot=slot_to_fill)
                     st.session_state['handbuilder_lineup'] = pd.concat(
-                        [st.session_state['handbuilder_lineup'], player_row[['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot']]],
+                        [st.session_state['handbuilder_lineup'], player_row[['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Own%', 'Slot']]],
                         ignore_index=True
                     )
                 st.session_state['handbuilder_select_key'] += 1
@@ -898,7 +898,7 @@ with tab4:
 
         # --- EXPLICIT LINEUP ORDER ---
         lineup_slots = ['SP', 'SP', 'C', '1B', '2B', '3B', 'SS', 'OF', 'OF', 'OF']
-        display_columns = ['Slot', 'Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%']
+        display_columns = ['Slot', 'Player', 'Order', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Own%']
 
         filled_lineup = st.session_state['handbuilder_lineup']
         display_rows = []
@@ -917,6 +917,7 @@ with tab4:
                     'Team': row['Team'],
                     'Salary': row['Salary'],
                     'Median': row['Median'],
+                    '2x%': row['2x%'],
                     'Own%': row['Own%']
                 })
             else:
@@ -928,6 +929,7 @@ with tab4:
                     'Team': '',
                     'Salary': np.nan,
                     'Median': np.nan,
+                    '2x%': np.nan,
                     'Own%': np.nan
                 })
 
@@ -935,7 +937,7 @@ with tab4:
 
         # Show the lineup table with single-row selection for removal
         event_remove = st.dataframe(
-            lineup_display_df.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn', subset=['Median']).background_gradient(cmap='RdYlGn_r', subset=['Order', 'Salary', 'Own%']).format(precision=2),
+            lineup_display_df.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn', subset=['Median', '2x%']).background_gradient(cmap='RdYlGn_r', subset=['Order', 'Salary', 'Own%']).format(precision=2),
             on_select="rerun",
             selection_mode=["single-row"],
             key="lineup_remove",
@@ -958,6 +960,7 @@ with tab4:
         if not filled_lineup.empty:
             total_salary = filled_lineup['Salary'].sum()
             total_median = filled_lineup['Median'].sum()
+            avg_2x = filled_lineup['2x%'].mean()
             total_own = filled_lineup['Own%'].sum()
             most_common_team = filled_lineup['Team'].mode()[0] if not filled_lineup['Team'].mode().empty else ""
 
@@ -969,6 +972,7 @@ with tab4:
                 'Team': [most_common_team],
                 'Salary': [total_salary],
                 'Median': [total_median],
+                '2x%': [avg_2x],
                 'Own%': [total_own]
             })
             summary_row = summary_row[display_columns]
@@ -982,5 +986,5 @@ with tab4:
 
     # Optionally, add a button to clear the lineup
     if st.button("Clear Lineup", key='clear_lineup'):
-        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot', 'Order'])
+        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Position', 'Team', 'Salary', 'Median', '2x%', 'Own%', 'Slot', 'Order'])
         st.rerun()